r-pls

Partial Least Squares and Principal Component Regression

The pls package implements multivariate regression methods: Partial Least Squares Regression (PLSR), Principal Component Regression (PCR), and Canonical Powered Partial Least Squares (CPPLS). It supports:

several algorithms: the traditional orthogonal scores (NIPALS) PLS algorithm, kernel PLS, wide kernel PLS, Simpls, and PCR through svd
multi-response models (or PLS2)
flexible cross-validation
Jackknife variance estimates of regression coefficients
extensive and flexible plots: scores, loadings, predictions, coefficients, (R)MSEP, R², and correlation loadings
formula interface, modelled after lm(), with methods for predict, print, summary, plot, update, etc.
extraction functions for coefficients, scores, and loadings
MSEP, RMSEP, and R² estimates
multiplicative scatter correction (MSC)

Versions: 2.8-5
Website: https://mevik.net/work/software/pls.html
Licenses: GPL 2
Package source: gnu/packages/cran.scm
Builds: See build status
Issues: See known issues

Installation

Install the latest version of r-pls as follows:

guix install r-pls

Or install a particular version:

guix install r-pls@2.8-5

You can also install packages in augmented, pure or containerized environments for development or simply to try them out without polluting your user profile. See the guix shell documentation for more information.

Badge code

You can use the following badge to inform users of r-pls about the latest version available in Guix.

Example HTML:

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Example Markdown:

[![Version in GNU Guix](https://packages.guix.gnu.org/packages/r-pls/badges/latest-version.svg)](https://packages.guix.gnu.org/packages/r-pls)

Example Org:

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